{"title":"Design of SLAM based adaptive fuzzy tracking controller for autonomous navigation system","authors":"K. Jajulwar, A. Deshmukh","doi":"10.1109/ISCO.2016.7727023","DOIUrl":null,"url":null,"abstract":"This paper repesent a software implimentation of SLAM(Simultaneous location & Mapping) based adaptive fuzzy tracking controller for autonomus navigation system of mobile robot for indoor environment. The system is useful for robot to reach the destination by avoiding obstacles in its path between source to destination. slam & Fuzzy controller is design to detect the near by obstacles, avoid path obstacles and reach the destination by shortest path distance. The location & Mapping technque to calculate the navigated path with mobile robot position, Localization & mapping.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2016.7727023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
This paper repesent a software implimentation of SLAM(Simultaneous location & Mapping) based adaptive fuzzy tracking controller for autonomus navigation system of mobile robot for indoor environment. The system is useful for robot to reach the destination by avoiding obstacles in its path between source to destination. slam & Fuzzy controller is design to detect the near by obstacles, avoid path obstacles and reach the destination by shortest path distance. The location & Mapping technque to calculate the navigated path with mobile robot position, Localization & mapping.
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